pipeline_tag, base_model
pipeline_tag base_model
text-generation
LiquidAI/LFM2-24B-A2B

These are MXFP4 quantizations of the model LiquidAI / LFM2-24B-A2B

Quick Start

  1. Download the latest release of llama.cpp.
  2. Download your preferred model variant from below.

Which version should I choose?

All variants use MXFP4 for the MoE (Mixture of Experts) weights to keep the model efficient. The difference lies in how the remaining tensors are handled:

Variant Quality Performance Size Recommendation
BF16 Variable* 12.37GiB Best for maximum accuracy; original unquantized weights.
F16 Fast 13.03GiB Great alternative if BF16 is slow on your hardware.
Q8 Fastest 13.03GiB Balanced performance and memory usage.

Note: On some older architectures, BF16 may be slower than F16.
Check that your GPU supports native BF16

Recommended parameters from LiquidAI:

  • temperature 0.1
  • top-k 50
  • repetition_penalty 1.05
Description
Model synced from source: noctrex/LFM2-24B-A2B-MXFP4_MOE-GGUF
Readme 25 KiB